spark-instrumented-optimizer/core/src/main/scala/spark/Utils.scala

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package spark
import java.io._
import java.net.{InetAddress, URL, URI, NetworkInterface, Inet4Address, ServerSocket}
import java.util.{Locale, Random, UUID}
import java.util.concurrent.{ConcurrentHashMap, Executors, ThreadFactory, ThreadPoolExecutor}
import java.util.regex.Pattern
import scala.collection.Map
import scala.collection.mutable.{ArrayBuffer, HashMap}
import scala.collection.JavaConversions._
import scala.io.Source
import com.google.common.io.Files
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import com.google.common.util.concurrent.ThreadFactoryBuilder
import org.apache.hadoop.fs.{Path, FileSystem, FileUtil}
import spark.serializer.SerializerInstance
import spark.deploy.SparkHadoopUtil
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/**
* Various utility methods used by Spark.
*/
private object Utils extends Logging {
/** Serialize an object using Java serialization */
def serialize[T](o: T): Array[Byte] = {
val bos = new ByteArrayOutputStream()
val oos = new ObjectOutputStream(bos)
oos.writeObject(o)
oos.close()
return bos.toByteArray
}
/** Deserialize an object using Java serialization */
def deserialize[T](bytes: Array[Byte]): T = {
val bis = new ByteArrayInputStream(bytes)
val ois = new ObjectInputStream(bis)
return ois.readObject.asInstanceOf[T]
}
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/** Deserialize an object using Java serialization and the given ClassLoader */
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def deserialize[T](bytes: Array[Byte], loader: ClassLoader): T = {
val bis = new ByteArrayInputStream(bytes)
val ois = new ObjectInputStream(bis) {
override def resolveClass(desc: ObjectStreamClass) =
Class.forName(desc.getName, false, loader)
}
return ois.readObject.asInstanceOf[T]
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}
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def isAlpha(c: Char): Boolean = {
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(c >= 'A' && c <= 'Z') || (c >= 'a' && c <= 'z')
}
/** Split a string into words at non-alphabetic characters */
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def splitWords(s: String): Seq[String] = {
val buf = new ArrayBuffer[String]
var i = 0
while (i < s.length) {
var j = i
while (j < s.length && isAlpha(s.charAt(j))) {
j += 1
}
if (j > i) {
buf += s.substring(i, j)
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}
i = j
while (i < s.length && !isAlpha(s.charAt(i))) {
i += 1
}
}
return buf
}
private val shutdownDeletePaths = new collection.mutable.HashSet[String]()
// Register the path to be deleted via shutdown hook
def registerShutdownDeleteDir(file: File) {
val absolutePath = file.getAbsolutePath()
shutdownDeletePaths.synchronized {
shutdownDeletePaths += absolutePath
}
}
// Is the path already registered to be deleted via a shutdown hook ?
def hasShutdownDeleteDir(file: File): Boolean = {
val absolutePath = file.getAbsolutePath()
shutdownDeletePaths.synchronized {
shutdownDeletePaths.contains(absolutePath)
}
}
// Note: if file is child of some registered path, while not equal to it, then return true;
// else false. This is to ensure that two shutdown hooks do not try to delete each others
// paths - resulting in IOException and incomplete cleanup.
def hasRootAsShutdownDeleteDir(file: File): Boolean = {
val absolutePath = file.getAbsolutePath()
val retval = shutdownDeletePaths.synchronized {
shutdownDeletePaths.find { path =>
!absolutePath.equals(path) && absolutePath.startsWith(path)
}.isDefined
}
if (retval) {
logInfo("path = " + file + ", already present as root for deletion.")
}
retval
}
/** Create a temporary directory inside the given parent directory */
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def createTempDir(root: String = System.getProperty("java.io.tmpdir")): File = {
var attempts = 0
val maxAttempts = 10
var dir: File = null
while (dir == null) {
attempts += 1
if (attempts > maxAttempts) {
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throw new IOException("Failed to create a temp directory (under " + root + ") after " +
maxAttempts + " attempts!")
}
try {
dir = new File(root, "spark-" + UUID.randomUUID.toString)
if (dir.exists() || !dir.mkdirs()) {
dir = null
}
} catch { case e: IOException => ; }
}
registerShutdownDeleteDir(dir)
// Add a shutdown hook to delete the temp dir when the JVM exits
Runtime.getRuntime.addShutdownHook(new Thread("delete Spark temp dir " + dir) {
override def run() {
// Attempt to delete if some patch which is parent of this is not already registered.
if (! hasRootAsShutdownDeleteDir(dir)) Utils.deleteRecursively(dir)
}
})
dir
}
/** Copy all data from an InputStream to an OutputStream */
def copyStream(in: InputStream,
out: OutputStream,
closeStreams: Boolean = false)
{
val buf = new Array[Byte](8192)
var n = 0
while (n != -1) {
n = in.read(buf)
if (n != -1) {
out.write(buf, 0, n)
}
}
if (closeStreams) {
in.close()
out.close()
}
}
/**
* Download a file requested by the executor. Supports fetching the file in a variety of ways,
* including HTTP, HDFS and files on a standard filesystem, based on the URL parameter.
*
* Throws SparkException if the target file already exists and has different contents than
* the requested file.
*/
def fetchFile(url: String, targetDir: File) {
val filename = url.split("/").last
val tempDir = getLocalDir
val tempFile = File.createTempFile("fetchFileTemp", null, new File(tempDir))
val targetFile = new File(targetDir, filename)
val uri = new URI(url)
uri.getScheme match {
case "http" | "https" | "ftp" =>
logInfo("Fetching " + url + " to " + tempFile)
val in = new URL(url).openStream()
val out = new FileOutputStream(tempFile)
Utils.copyStream(in, out, true)
if (targetFile.exists && !Files.equal(tempFile, targetFile)) {
tempFile.delete()
throw new SparkException(
"File " + targetFile + " exists and does not match contents of" + " " + url)
} else {
Files.move(tempFile, targetFile)
}
case "file" | null =>
// In the case of a local file, copy the local file to the target directory.
// Note the difference between uri vs url.
val sourceFile = if (uri.isAbsolute) new File(uri) else new File(url)
if (targetFile.exists) {
// If the target file already exists, warn the user if
if (!Files.equal(sourceFile, targetFile)) {
throw new SparkException(
"File " + targetFile + " exists and does not match contents of" + " " + url)
} else {
// Do nothing if the file contents are the same, i.e. this file has been copied
// previously.
logInfo(sourceFile.getAbsolutePath + " has been previously copied to "
+ targetFile.getAbsolutePath)
}
} else {
// The file does not exist in the target directory. Copy it there.
logInfo("Copying " + sourceFile.getAbsolutePath + " to " + targetFile.getAbsolutePath)
Files.copy(sourceFile, targetFile)
}
case _ =>
// Use the Hadoop filesystem library, which supports file://, hdfs://, s3://, and others
val uri = new URI(url)
val conf = SparkHadoopUtil.newConfiguration()
val fs = FileSystem.get(uri, conf)
val in = fs.open(new Path(uri))
val out = new FileOutputStream(tempFile)
Utils.copyStream(in, out, true)
if (targetFile.exists && !Files.equal(tempFile, targetFile)) {
tempFile.delete()
throw new SparkException("File " + targetFile + " exists and does not match contents of" +
" " + url)
} else {
Files.move(tempFile, targetFile)
}
}
// Decompress the file if it's a .tar or .tar.gz
if (filename.endsWith(".tar.gz") || filename.endsWith(".tgz")) {
logInfo("Untarring " + filename)
Utils.execute(Seq("tar", "-xzf", filename), targetDir)
} else if (filename.endsWith(".tar")) {
logInfo("Untarring " + filename)
Utils.execute(Seq("tar", "-xf", filename), targetDir)
}
// Make the file executable - That's necessary for scripts
FileUtil.chmod(targetFile.getAbsolutePath, "a+x")
}
/**
* Get a temporary directory using Spark's spark.local.dir property, if set. This will always
* return a single directory, even though the spark.local.dir property might be a list of
* multiple paths.
*/
def getLocalDir: String = {
System.getProperty("spark.local.dir", System.getProperty("java.io.tmpdir")).split(',')(0)
}
/**
* Shuffle the elements of a collection into a random order, returning the
* result in a new collection. Unlike scala.util.Random.shuffle, this method
* uses a local random number generator, avoiding inter-thread contention.
*/
def randomize[T: ClassManifest](seq: TraversableOnce[T]): Seq[T] = {
randomizeInPlace(seq.toArray)
}
/**
* Shuffle the elements of an array into a random order, modifying the
* original array. Returns the original array.
*/
def randomizeInPlace[T](arr: Array[T], rand: Random = new Random): Array[T] = {
for (i <- (arr.length - 1) to 1 by -1) {
val j = rand.nextInt(i)
val tmp = arr(j)
arr(j) = arr(i)
arr(i) = tmp
}
arr
}
/**
* Get the local host's IP address in dotted-quad format (e.g. 1.2.3.4).
* Note, this is typically not used from within core spark.
*/
lazy val localIpAddress: String = findLocalIpAddress()
lazy val localIpAddressHostname: String = getAddressHostName(localIpAddress)
private def findLocalIpAddress(): String = {
val defaultIpOverride = System.getenv("SPARK_LOCAL_IP")
if (defaultIpOverride != null) {
defaultIpOverride
} else {
val address = InetAddress.getLocalHost
if (address.isLoopbackAddress) {
// Address resolves to something like 127.0.1.1, which happens on Debian; try to find
// a better address using the local network interfaces
for (ni <- NetworkInterface.getNetworkInterfaces) {
for (addr <- ni.getInetAddresses if !addr.isLinkLocalAddress &&
!addr.isLoopbackAddress && addr.isInstanceOf[Inet4Address]) {
// We've found an address that looks reasonable!
logWarning("Your hostname, " + InetAddress.getLocalHost.getHostName + " resolves to" +
" a loopback address: " + address.getHostAddress + "; using " + addr.getHostAddress +
" instead (on interface " + ni.getName + ")")
logWarning("Set SPARK_LOCAL_IP if you need to bind to another address")
return addr.getHostAddress
}
}
logWarning("Your hostname, " + InetAddress.getLocalHost.getHostName + " resolves to" +
" a loopback address: " + address.getHostAddress + ", but we couldn't find any" +
" external IP address!")
logWarning("Set SPARK_LOCAL_IP if you need to bind to another address")
}
address.getHostAddress
}
}
private var customHostname: Option[String] = None
/**
* Allow setting a custom host name because when we run on Mesos we need to use the same
* hostname it reports to the master.
*/
def setCustomHostname(hostname: String) {
// DEBUG code
Utils.checkHost(hostname)
customHostname = Some(hostname)
}
/**
* Get the local machine's hostname.
*/
def localHostName(): String = {
customHostname.getOrElse(localIpAddressHostname)
}
def getAddressHostName(address: String): String = {
InetAddress.getByName(address).getHostName
}
def localHostPort(): String = {
val retval = System.getProperty("spark.hostPort", null)
if (retval == null) {
logErrorWithStack("spark.hostPort not set but invoking localHostPort")
return localHostName()
}
retval
}
/*
// Used by DEBUG code : remove when all testing done
private val ipPattern = Pattern.compile("^[0-9]+(\\.[0-9]+)*$")
def checkHost(host: String, message: String = "") {
// Currently catches only ipv4 pattern, this is just a debugging tool - not rigourous !
// if (host.matches("^[0-9]+(\\.[0-9]+)*$")) {
if (ipPattern.matcher(host).matches()) {
Utils.logErrorWithStack("Unexpected to have host " + host + " which matches IP pattern. Message " + message)
}
if (Utils.parseHostPort(host)._2 != 0){
Utils.logErrorWithStack("Unexpected to have host " + host + " which has port in it. Message " + message)
}
}
// Used by DEBUG code : remove when all testing done
def checkHostPort(hostPort: String, message: String = "") {
val (host, port) = Utils.parseHostPort(hostPort)
checkHost(host)
if (port <= 0){
Utils.logErrorWithStack("Unexpected to have port " + port + " which is not valid in " + hostPort + ". Message " + message)
}
}
// Used by DEBUG code : remove when all testing done
def logErrorWithStack(msg: String) {
try { throw new Exception } catch { case ex: Exception => { logError(msg, ex) } }
// temp code for debug
System.exit(-1)
}
*/
// Once testing is complete in various modes, replace with this ?
def checkHost(host: String, message: String = "") {}
def checkHostPort(hostPort: String, message: String = "") {}
// Used by DEBUG code : remove when all testing done
def logErrorWithStack(msg: String) {
try { throw new Exception } catch { case ex: Exception => { logError(msg, ex) } }
}
def getUserNameFromEnvironment(): String = {
SparkHadoopUtil.getUserNameFromEnvironment
}
// Typically, this will be of order of number of nodes in cluster
// If not, we should change it to LRUCache or something.
private val hostPortParseResults = new ConcurrentHashMap[String, (String, Int)]()
def parseHostPort(hostPort: String): (String, Int) = {
{
// Check cache first.
var cached = hostPortParseResults.get(hostPort)
if (cached != null) return cached
}
val indx: Int = hostPort.lastIndexOf(':')
// This is potentially broken - when dealing with ipv6 addresses for example, sigh ...
// but then hadoop does not support ipv6 right now.
// For now, we assume that if port exists, then it is valid - not check if it is an int > 0
if (-1 == indx) {
val retval = (hostPort, 0)
hostPortParseResults.put(hostPort, retval)
return retval
}
val retval = (hostPort.substring(0, indx).trim(), hostPort.substring(indx + 1).trim().toInt)
hostPortParseResults.putIfAbsent(hostPort, retval)
hostPortParseResults.get(hostPort)
}
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private[spark] val daemonThreadFactory: ThreadFactory =
new ThreadFactoryBuilder().setDaemon(true).build()
/**
* Wrapper over newCachedThreadPool.
*/
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def newDaemonCachedThreadPool(): ThreadPoolExecutor =
Executors.newCachedThreadPool(daemonThreadFactory).asInstanceOf[ThreadPoolExecutor]
/**
* Return the string to tell how long has passed in seconds. The passing parameter should be in
* millisecond.
*/
def getUsedTimeMs(startTimeMs: Long): String = {
return " " + (System.currentTimeMillis - startTimeMs) + " ms"
}
/**
* Wrapper over newFixedThreadPool.
*/
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def newDaemonFixedThreadPool(nThreads: Int): ThreadPoolExecutor =
Executors.newFixedThreadPool(nThreads, daemonThreadFactory).asInstanceOf[ThreadPoolExecutor]
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/**
* Delete a file or directory and its contents recursively.
*/
def deleteRecursively(file: File) {
if (file.isDirectory) {
for (child <- file.listFiles()) {
deleteRecursively(child)
}
}
if (!file.delete()) {
throw new IOException("Failed to delete: " + file)
}
}
/**
* Convert a Java memory parameter passed to -Xmx (such as 300m or 1g) to a number of megabytes.
* This is used to figure out how much memory to claim from Mesos based on the SPARK_MEM
* environment variable.
*/
def memoryStringToMb(str: String): Int = {
val lower = str.toLowerCase
if (lower.endsWith("k")) {
(lower.substring(0, lower.length-1).toLong / 1024).toInt
} else if (lower.endsWith("m")) {
lower.substring(0, lower.length-1).toInt
} else if (lower.endsWith("g")) {
lower.substring(0, lower.length-1).toInt * 1024
} else if (lower.endsWith("t")) {
lower.substring(0, lower.length-1).toInt * 1024 * 1024
} else {// no suffix, so it's just a number in bytes
(lower.toLong / 1024 / 1024).toInt
}
}
/**
* Convert a memory quantity in bytes to a human-readable string such as "4.0 MB".
*/
def memoryBytesToString(size: Long): String = {
val TB = 1L << 40
val GB = 1L << 30
val MB = 1L << 20
val KB = 1L << 10
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val (value, unit) = {
if (size >= 2*TB) {
(size.asInstanceOf[Double] / TB, "TB")
} else if (size >= 2*GB) {
(size.asInstanceOf[Double] / GB, "GB")
} else if (size >= 2*MB) {
(size.asInstanceOf[Double] / MB, "MB")
} else if (size >= 2*KB) {
(size.asInstanceOf[Double] / KB, "KB")
} else {
(size.asInstanceOf[Double], "B")
}
}
"%.1f %s".formatLocal(Locale.US, value, unit)
}
/**
* Returns a human-readable string representing a duration such as "35ms"
*/
def msDurationToString(ms: Long): String = {
val second = 1000
val minute = 60 * second
val hour = 60 * minute
ms match {
case t if t < second =>
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"%d ms".format(t)
case t if t < minute =>
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"%.1f s".format(t.toFloat / second)
case t if t < hour =>
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"%.1f m".format(t.toFloat / minute)
case t =>
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"%.2f h".format(t.toFloat / hour)
}
}
/**
* Convert a memory quantity in megabytes to a human-readable string such as "4.0 MB".
*/
def memoryMegabytesToString(megabytes: Long): String = {
memoryBytesToString(megabytes * 1024L * 1024L)
}
/**
* Execute a command in the given working directory, throwing an exception if it completes
* with an exit code other than 0.
*/
def execute(command: Seq[String], workingDir: File) {
val process = new ProcessBuilder(command: _*)
.directory(workingDir)
.redirectErrorStream(true)
.start()
new Thread("read stdout for " + command(0)) {
override def run() {
for (line <- Source.fromInputStream(process.getInputStream).getLines) {
System.err.println(line)
}
}
}.start()
val exitCode = process.waitFor()
if (exitCode != 0) {
throw new SparkException("Process " + command + " exited with code " + exitCode)
}
}
/**
* Execute a command in the current working directory, throwing an exception if it completes
* with an exit code other than 0.
*/
def execute(command: Seq[String]) {
execute(command, new File("."))
}
/**
* Execute a command and get its output, throwing an exception if it yields a code other than 0.
*/
def executeAndGetOutput(command: Seq[String], workingDir: File = new File("."),
extraEnvironment: Map[String, String] = Map.empty): String = {
val builder = new ProcessBuilder(command: _*)
.directory(workingDir)
val environment = builder.environment()
for ((key, value) <- extraEnvironment) {
environment.put(key, value)
}
val process = builder.start()
new Thread("read stderr for " + command(0)) {
override def run() {
for (line <- Source.fromInputStream(process.getErrorStream).getLines) {
System.err.println(line)
}
}
}.start()
val output = new StringBuffer
val stdoutThread = new Thread("read stdout for " + command(0)) {
override def run() {
for (line <- Source.fromInputStream(process.getInputStream).getLines) {
output.append(line)
}
}
}
stdoutThread.start()
val exitCode = process.waitFor()
stdoutThread.join() // Wait for it to finish reading output
if (exitCode != 0) {
throw new SparkException("Process " + command + " exited with code " + exitCode)
}
output.toString
}
/**
* A regular expression to match classes of the "core" Spark API that we want to skip when
* finding the call site of a method.
*/
private val SPARK_CLASS_REGEX = """^spark(\.api\.java)?(\.rdd)?\.[A-Z]""".r
private[spark] class CallSiteInfo(val lastSparkMethod: String, val firstUserFile: String,
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val firstUserLine: Int, val firstUserClass: String)
/**
* When called inside a class in the spark package, returns the name of the user code class
* (outside the spark package) that called into Spark, as well as which Spark method they called.
* This is used, for example, to tell users where in their code each RDD got created.
*/
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def getCallSiteInfo: CallSiteInfo = {
val trace = Thread.currentThread.getStackTrace().filter( el =>
(!el.getMethodName.contains("getStackTrace")))
// Keep crawling up the stack trace until we find the first function not inside of the spark
// package. We track the last (shallowest) contiguous Spark method. This might be an RDD
// transformation, a SparkContext function (such as parallelize), or anything else that leads
// to instantiation of an RDD. We also track the first (deepest) user method, file, and line.
var lastSparkMethod = "<unknown>"
var firstUserFile = "<unknown>"
var firstUserLine = 0
var finished = false
var firstUserClass = "<unknown>"
for (el <- trace) {
if (!finished) {
if (SPARK_CLASS_REGEX.findFirstIn(el.getClassName) != None) {
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lastSparkMethod = if (el.getMethodName == "<init>") {
// Spark method is a constructor; get its class name
el.getClassName.substring(el.getClassName.lastIndexOf('.') + 1)
} else {
el.getMethodName
}
}
else {
firstUserLine = el.getLineNumber
firstUserFile = el.getFileName
firstUserClass = el.getClassName
finished = true
}
}
}
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new CallSiteInfo(lastSparkMethod, firstUserFile, firstUserLine, firstUserClass)
}
def formatSparkCallSite = {
val callSiteInfo = getCallSiteInfo
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"%s at %s:%s".format(callSiteInfo.lastSparkMethod, callSiteInfo.firstUserFile,
callSiteInfo.firstUserLine)
}
/** Return a string containing part of a file from byte 'start' to 'end'. */
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def offsetBytes(path: String, start: Long, end: Long): String = {
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val file = new File(path)
val length = file.length()
val effectiveEnd = math.min(length, end)
val effectiveStart = math.max(0, start)
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val buff = new Array[Byte]((effectiveEnd-effectiveStart).toInt)
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val stream = new FileInputStream(file)
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stream.skip(effectiveStart)
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stream.read(buff)
stream.close()
Source.fromBytes(buff).mkString
}
/**
* Clone an object using a Spark serializer.
*/
def clone[T](value: T, serializer: SerializerInstance): T = {
serializer.deserialize[T](serializer.serialize(value))
}
/**
* Detect whether this thread might be executing a shutdown hook. Will always return true if
* the current thread is a running a shutdown hook but may spuriously return true otherwise (e.g.
* if System.exit was just called by a concurrent thread).
*
* Currently, this detects whether the JVM is shutting down by Runtime#addShutdownHook throwing
* an IllegalStateException.
*/
def inShutdown(): Boolean = {
try {
val hook = new Thread {
override def run() {}
}
Runtime.getRuntime.addShutdownHook(hook)
Runtime.getRuntime.removeShutdownHook(hook)
} catch {
case ise: IllegalStateException => return true
}
return false
}
def isSpace(c: Char): Boolean = {
" \t\r\n".indexOf(c) != -1
}
/**
* Split a string of potentially quoted arguments from the command line the way that a shell
* would do it to determine arguments to a command. For example, if the string is 'a "b c" d',
* then it would be parsed as three arguments: 'a', 'b c' and 'd'.
*/
def splitCommandString(s: String): Seq[String] = {
val buf = new ArrayBuffer[String]
var inWord = false
var inSingleQuote = false
var inDoubleQuote = false
var curWord = new StringBuilder
def endWord() {
buf += curWord.toString
curWord.clear()
}
var i = 0
while (i < s.length) {
var nextChar = s.charAt(i)
if (inDoubleQuote) {
if (nextChar == '"') {
inDoubleQuote = false
} else if (nextChar == '\\') {
if (i < s.length - 1) {
// Append the next character directly, because only " and \ may be escaped in
// double quotes after the shell's own expansion
curWord.append(s.charAt(i + 1))
i += 1
}
} else {
curWord.append(nextChar)
}
} else if (inSingleQuote) {
if (nextChar == '\'') {
inSingleQuote = false
} else {
curWord.append(nextChar)
}
// Backslashes are not treated specially in single quotes
} else if (nextChar == '"') {
inWord = true
inDoubleQuote = true
} else if (nextChar == '\'') {
inWord = true
inSingleQuote = true
} else if (!isSpace(nextChar)) {
curWord.append(nextChar)
inWord = true
} else if (inWord && isSpace(nextChar)) {
endWord()
inWord = false
}
i += 1
}
if (inWord || inDoubleQuote || inSingleQuote) {
endWord()
}
return buf
}
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}